Visualizing Time : Designing Graphical Representations for Statistical Data

Graham Wills

ISBN 10: 1493939246 / ISBN 13: 9781493939244

Published by Springer, Springer, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Art, or Science Which of these is the right way to think of the field of visualization This is not an easy question to answer, even for those who have many years experience in making graphical depictions of data with a view to help people understand it and take action. In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and advice, but bases these on general principles and provide a clear path between them This book is concerned with the graphical representation of time data and is written to cover a range of different users. A visualization expert designing tools for displaying time will find it valuable, but so also should a financier assembling a report in a spreadsheet, or a medical researcher trying to display gene sequences using a commercial statistical package.

Seller Inventory # 9781493939244

Bibliographic Details

• Title: Visualizing Time : Designing Graphical Representations for Statistical Data
• Publisher: Springer, Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 1493939246
• ISBN 13: 9781493939244
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 417 grams

About this title

Synopsis

Art, or Science? Which of these is the right way to think of the field of visualization? This is not an easy question to answer, even for those who have many years experience in making graphical depictions of data with a view to help people understand it and take action. In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and advice, but bases these on general principles and provide a clear path between them

This book is concerned with the graphical representation of time data and is written to cover a range of different users. A visualization expert designing tools for displaying time will find it valuable, but so also should a financier assembling a report in a spreadsheet, or a medical researcher trying to display gene sequences using a commercial statistical package.

About the Author

Graham Wills is Visualization Architect and Principal Software Engineer for SPSS, Inc.